"Go" matching MCP servers:

Local-first MCP proxy with BM25 tool discovery, quarantine security, Docker isolation, OAuth support, activity logging, and web UI. Routes multiple upstream MCP servers through a single endpoint.

Smart AI workflow for Cursor teams with intelligent prompt routing, real-time cost optimization, and team analytics.

MCP server that exposes Google Jules AI agent as tools, allowing local AI agents to list authorized repositories and delegate coding tasks to Jules, receiving session URLs for tracking.

Universal governance layer for AI agents — MCP-native, fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and rollback for any agent in any framework.

Explorium AgentSource MCP Server empowers every agent to become an AI-driven, Go-To-Market specialized agent! With over 20 specialized endpoints designed for prospecting, sales, and lead generation, agents can effortlessly generate and enrich accounts and prospects, access deep business insights, an

An MCP server that enforces hard quality gates on AI coding agents, including forced web search, planning, and empirical test execution, to prevent common failure modes and ensure production-grade code.

Persistent memory for AI agents with 29 MCP tools for search, storage, plans, context, messaging, tasks, agent network, and memory management.

Enables AI assistants to manage GoClaw AI gateway infrastructure through a comprehensive suite of 66 tools for managing agents, sessions, and configurations. It provides real-time gateway context and guided workflows with enterprise-grade security features like audit logging and secret scrubbing.

Provides MCP (Model Control Protocol) tools for accessing and interacting with Google Chat spaces and messages through OAuth2 authentication.

Enables an LLM agent to measure where a session's tokens actually go and whether rewriting history pays for the prompt-cache prefix it invalidates, so it can pick clearing thresholds or decline to compress. Exposes the token-cost accounting and cache-preserving optimization layers over MCP.

Signed, offline-verifiable authorization for API-contract changes. Before a contract change (OpenAPI, GraphQL, Protobuf, AsyncAPI, MCP manifests) merges or deploys, the agent calls preflight_change_set; the decision is deterministic, signed, and verifiable without calling CodeRifts. Three tools: preflight_change_set, verify_receipt, get_decision_details. Only a granted change can proceed.

MCP-native agent-to-agent messaging hub for AI swarms. Agents communicate via channels and DMs through MCP protocol — zero SDKs needed. Includes web UI, semantic search, analytics dashboard. Single Go binary, local-first.

A high-performance Go-based MCP server that provides a microservice architecture for orchestrating diverse tools through gRPC and HTTP/REST APIs. Enables seamless integration of language-agnostic tools including ML capabilities, web search, calculations, and human interaction for intelligent agent workflows.

Enables AI coding agents to check real subscription usage limits and get a go, wait, or reroute decision before starting work.

Enables Claude to control Opera GX by adjusting GX Control limiters, sidebar, tab bar settings, themes, presets, and managing tabs and pages.

Enables Codex to send structured data and render compact canvas artifacts beside native answer text on Even Realities G2 glasses, using authenticated stdio or Streamable HTTP transport with strict schemas, revisions, expiry, and delivery receipts.

An autonomous Go MCP server that dynamically imports OpenAPI, GraphQL, and AsyncAPI specs and exposes them as tools to agents with self-learning and auto-documentation.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

Converts any REST API into MCP-compatible tools instantly by providing an OpenAPI/Swagger spec, enabling seamless integration with AI agents.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.